Pith Number
pith:BWWA5FPJ
pith:2023:BWWA5FPJFAGJ6RTCW2VXMCJBJQ
not attested
not anchored
not stored
refs pending
A comprehensive survey on deep active learning in medical image analysis
arxiv:2310.14230 v3 · 2023-10-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BWWA5FPJFAGJ6RTCW2VXMCJBJQ}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:55:25.595671Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0dac0e95e9280c9f4662b6ab7609214c30d087fde00c61e2eb145e37da8b0ffd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BWWA5FPJFAGJ6RTCW2VXMCJBJQ \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 0dac0e95e9280c9f4662b6ab7609214c30d087fde00c61e2eb145e37da8b0ffd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "98f0ab469b209ed8981896dd4c707b7fdd7296aaf1ae459211dc4430f78de776",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-10-22T08:46:40Z",
"title_canon_sha256": "3fa0893a69a2066d40aff7bb1f78cbae99573ce68e1bb2e5351e7c5622d9678c"
},
"schema_version": "1.0",
"source": {
"id": "2310.14230",
"kind": "arxiv",
"version": 3
}
}